Nicholas K. Brown

1.7k total citations
30 papers, 1.3k citations indexed

About

Nicholas K. Brown is a scholar working on Immunology, Molecular Biology and Surgery. According to data from OpenAlex, Nicholas K. Brown has authored 30 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Immunology, 7 papers in Molecular Biology and 4 papers in Surgery. Recurrent topics in Nicholas K. Brown's work include T-cell and B-cell Immunology (16 papers), Immune Cell Function and Interaction (11 papers) and Renal Transplantation Outcomes and Treatments (4 papers). Nicholas K. Brown is often cited by papers focused on T-cell and B-cell Immunology (16 papers), Immune Cell Function and Interaction (11 papers) and Renal Transplantation Outcomes and Treatments (4 papers). Nicholas K. Brown collaborates with scholars based in United States, China and South Korea. Nicholas K. Brown's co-authors include Yang‐Xin Fu, Xuanming Yang, Yang Wang, Pan Zheng, Jifeng Zhang, Zhujun Jiang, Liufu Deng, Husain Sattar, Shengdian Wang and Yang Liu and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Immunology and Cancer Cell.

In The Last Decade

Nicholas K. Brown

28 papers receiving 1.3k citations

Peers

Countries citing papers authored by Nicholas K. Brown

Since Specialization

Citations

This map shows the geographic impact of Nicholas K. Brown's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nicholas K. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas K. Brown more than expected).

Fields of papers citing papers by Nicholas K. Brown

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicholas K. Brown. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nicholas K. Brown. The network helps show where Nicholas K. Brown may publish in the future.

Co-authorship network of co-authors of Nicholas K. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas K. Brown. A scholar is included among the top collaborators of Nicholas K. Brown based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nicholas K. Brown. Nicholas K. Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Practical guide to personnel competency assessment in clinical histocompatibility laboratories 2025 ·Human Immunology ·Chak‐Sum Ho, (unknown), Valia Bravo-Egaña, Taba Kheradmand, (unknown), Nicholas K. Brown, (unknown), (unknown), Julie A. Houp, (unknown), Olga Timofeeva	0
2	Next‐generation sequencing identifies two novel HLA‐DPB1 alleles: HLA‐DPB11069:01* and DPB11072:01* 2024 ·HLA ·Maneesh Kumar Misra, Nicholas K. Brown, Susana R. Marino	2
3	HLA amino acid Mismatch-Based risk stratification of kidney allograft failure using a novel Machine learning algorithm 2023 ·Journal of Biomedical Informatics ·(unknown), Loren Gragert, (unknown), Keith McCullough, Nicholas K. Brown, Malek Kamoun, Ryan J. Urbanowicz	3
4	Reduced PCR-generated errors from a hybrid capture-based NGS assay for HLA typing 2021 ·Human Immunology ·Nicholas K. Brown, (unknown), Erik H. Rozemuller, (unknown), (unknown), Jane Kearns	7
5	Using creative approaches to teach reflective practice to dancers 2019 ·UCL Discovery (University College London) ·Jennifer Leigh, (unknown), Nicholas K. Brown, (unknown)	1
6	Effective desensitization for a strong donor‐specific HLA antibody in a case of HLA‐mismatched allogeneic hematopoietic cell transplantation 2019 ·HLA ·Maneesh Kumar Misra, (unknown), Nicholas K. Brown, (unknown), (unknown), Michael R. Bishop, Geoffrey D. Wool, Andrew Artz, Susana R. Marino	3
7	P002 Association of HLA-B15:02 allele with lamotrigine-induced cutaneous adverse drug reaction in an indian patient 2019 ·Human Immunology* ·Maneesh Kumar Misra, (unknown), (unknown), (unknown), Royce Lee, Nicholas K. Brown, (unknown)	0
8	HLA alleles and haplotypes observed in 263 US families 2019 ·Human Immunology ·Kazutoyo Osoegawa, (unknown), (unknown), (unknown), Ketevan Gendzekhadze, Susana R. Marino, Nicholas K. Brown, Maria Bettinotti, Eric T. Weimer, Gonzalo Montero-Martín, Lisa E. Creary, Tamara Vayntrub, Chia-Jung Chang, Medhat Askar, Steven J. Mack, Marcelo Fernández-Viña	16
9	Reanalysis of the role of pronase treatment of B cells in the flow cytometric crossmatch assay: Fc receptor is not the primary target 2017 ·Human Immunology ·Nicholas K. Brown, James R. Meade, Jinguo Wang, Susana R. Marino	4
10	Identification and characterization of novel HLA alleles: Utility of next-generation sequencing methods 2016 ·Human Immunology ·Nicholas K. Brown, Taba Kheradmand, Jinguo Wang, Susana R. Marino	11
11	The Essential Role of Circulating Thyroglobulin in Maintaining Dominance of Natural Regulatory T Cell Function to Prevent Autoimmune Thyroiditis 2015 ·Hormone and Metabolic Research ·Nicholas K. Brown, Gerald P. Morris, Jeffrey C. Flynn, Yi‐chi M. Kong	10
12	Siglec-G/10 in self-nonself discrimination of innate and adaptive immunity 2014 ·Glycobiology ·Gang Chen, Nicholas K. Brown, Pan Zheng, Yang Liu	70
13	The Therapeutic Effect of Anti-HER2/neu Antibody Depends on Both Innate and Adaptive Immunity 2010 ·Cancer Cell ·(unknown), Zhujun Jiang, Eric D. Mortenson, Liufu Deng, Olga Radkevich-Brown, Xuanming Yang, Husain Sattar, Yang Wang, Nicholas K. Brown, Mark I. Greene, Yang Liu, Jie Tang, Shengdian Wang, Yang‐Xin Fu	433
14	Direct and indirect roles of the LTβR pathway in central tolerance induction 2010 ·Trends in Immunology ·Mingzhao Zhu, Nicholas K. Brown, Yang‐Xin Fu	15
15	B and T Lymphocyte Attenuator Tempers Early Infection Immunity 2009 ·The Journal of Immunology ·Yonglian Sun, Nicholas K. Brown, Matthew J. Ruddy, Mendy Miller, Youjin Lee, Yang Wang, Kenneth M. Murphy, Klaus Pfeffer, Lieping Chen, Jonathan Kaye, Yang‐Xin Fu	46
16	Naturally-existing CD4+CD25+Foxp3+ regulatory T cells are required for tolerance to experimental autoimmune thyroiditis induced by either exogenous or endogenous autoantigen 2009 ·Journal of Autoimmunity ·Gerald P. Morris, Nicholas K. Brown, Yi-chi M. Kong	58
17	Autoimmune thyroiditis: A model uniquely suited to probe regulatory T cell function 2009 ·Journal of Autoimmunity ·(unknown), Gerald P. Morris, Nicholas K. Brown, Yan Yan, Jeffrey C. Flynn, Chella S. David	41
18	B and T lymphocyte attenuator tempers early infection immunity (133.6) 2009 ·The Journal of Immunology ·Nicholas K. Brown, Yonglian Sun, Mendy Miller, Yang‐Xin Fu	1
19	H2E -Derived Eα52-68 Peptide Presented by H2Ab Interferes with Clonal Deletion of Autoreactive T Cells in Autoimmune Thyroiditis 2008 ·The Journal of Immunology ·Nicholas K. Brown, Daniel McCormick, Chella S. David, Yi-chi M. Kong	5
20	A novel H2A−E+ transgenic model susceptible to human but not mouse thyroglobulin-induced autoimmune thyroiditis: Identification of mouse pathogenic epitopes 2008 ·Cellular Immunology ·Nicholas K. Brown, Daniel McCormick, Vladimir Brusić, Chella S. David, Yi-chi M. Kong	9

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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